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1.
2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2063233

ABSTRACT

The rapidly growing market of eSports has become a lucrative industry. Sim racing is one of the traditional sports that gain increasing popularity in eSports. With raising profits, lucrative sponsoring contracts, and competitive price money, incentives for fraud are also on the upraise. This is further facilitated by the COVID-19 pandemic, which led to the substitution of live eSport events by virtual formats. Particularly, in sim racing it becomes increasingly challenging to verify the contestants identity in virtual events. Here, we propose and evaluate a generic workflow to identify personal driving style by transforming raw racing data (including measurements extracted from the simulation software and connected simulator hardware) into a comparable representation (fingerprint). As data base we used an extensive collection of telemetry data recorded from the racing simulation Assetto Corsa on 3 immersive motion simulators. The set contains over 2,000 laps of seven player recorded in weekly sessions. The experiments demonstrate the feasibility to distinguish players using the proposed method on different tracks, car models, and motion simulators. Due to the extensive experiments, we could achieve a driver separation score of up to 89%. The raw data and the raw results are made publicly available on Github. © 2022 IEEE.

2.
15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2018999

ABSTRACT

Due to the COVID-19 pandemic, teaching has had to move from face-to-face to online models. In the context of the subject 'Home and Building Control' taught in the Electronic Engineering Bachelor Degree, an online Modbus device simulator has been developed to conduct online laboratory sessions. The simulator stablishes a Modbus TCP endpoint and a web interface for each student where they can send orders and visualize the behavior of the virtual devices under the configuration given by Modbus. The simulator was developed and used for the first time during the second half of the 2019/2020 academic year where quarantine restrictions were imposed. The simulator proved to work as expected, allowing to move all laboratory sessions to the online model. © 2022 IEEE.

3.
Technology and Innovation ; 22(2):199-217, 2022.
Article in English | ProQuest Central | ID: covidwho-2002774

ABSTRACT

In the first quarter of 2020, SARs-CoV-2 (COVID-19) infections began to grow at an alarming rate despite drastic measures to reduce infection rates. Severe COVID-19 cases required mechanical ventilation, resulting in ventilator shortages worldwide. To address the ventilator shortages, the authors developed the CoreVent 2020, an emergency-use ventilator for adult patients that was designed, built, and tested in ten days. The CoreVent 2020 is a pressure-cycled, time-limited ventilator with a breath-assist mode that operates on standard pressurized oxygen and medical air. It provides adjustable peak inspiratory pressure (PIP) and positive end-expiratory pressure (PEEP). A medical-grade commercially available breathing circuit is used to minimize non-medical component requirements. The CoreVent 2020 was fabricated in-house at Stony Brook University Hospital and tested on three mechanical lung simulators in which the operating modes and alarm features were demonstrated. Animal studies were also performed in both normal breathing mode and breath-assisted modes. Arterial blood gas measurements confirmed that the ventilator provided satisfactory ventilation for the test subjects. The COVID-19 pandemic presented unique constraints on the design and innovation process not normally encountered in typical practice. Design decisions such as component choice, delivery time, and ease of high-volume, rapid manufacturing influenced all aspects of the design process. This aspect of the design/innovation process is also discussed, as well as an introductory discussion on how training and simulations can be developed so that innovation can occur efficiently in future crises situations.

4.
Teach Learn Nurs ; 2022 Aug 19.
Article in English | MEDLINE | ID: covidwho-1996580

ABSTRACT

Introduction: : This study examined Filipino nursing students' use of household materials as low-cost simulators and how they aid in online return demonstrations. Methods: : Summative content analysis guided this study. We collected uploaded YouTube videos (n=14) depicting Filipino nursing students using low-cost simulators in their skills demonstration. We used Bengtsson's approach to content analysis to analyze the data. Findings: : Four themes of low-cost simulators were identified: home and hardware, health and beauty, creative articles, and entertainment. The categories under home and hardware were tools, containers, furniture, and packaging. Health and beauty low-cost simulators were toiletries and medical supplies. Creative articles included fabrics, clothing accessories, and stationeries. Entertainment low-cost-simulators had toys and computer accessories. Discussion: : During the COVID-19 pandemic, our research uncovered home equipment employed as low-cost simulators to help nursing students' online simulation of skills demonstration. We recommend further investigation of whether students learned using low-cost simulators.

5.
Int J Pediatr Otorhinolaryngol ; 162: 111273, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-1983224

ABSTRACT

OBJECTIVE: Our objective was to create and evaluate a novel virtual platform dissection course to complement pediatric otolaryngology fellowship training in the setting of the COVID-19 pandemic. METHODS: A four-station, four-simulator virtual course was delivered to pediatric otolaryngology fellows virtually using teleconferencing software. The four stations consisted of microtia ear carving, airway graft carving, cleft lip repair, and cleft palate repair. Fellows were asked to complete pre- and post-course surveys to evaluate their procedural confidence, expertise, and attitudes towards the course structure. RESULTS: Statistical analysis of pre-course survey data showed fellows agreed that simulators should play an important part in surgical training (4.59 (0.62)); would like more options for training with simulators (4.31 (0.88)); and would like the option of saving their simulators for later reference (4.41 (0.85)). Fellows found the surgical simulators used in the course to be valuable as potential training tools (3.96 (0.96)), as competency or evaluation tools (3.91 (0.98)), and as rehearsal tools (4.06 (0.93)). Analysis showed a statistically significant improvement in overall surgical confidence in performing all four procedures. CONCLUSION: This virtual surgical dissection course demonstrates 3D printed surgical simulators can be utilized to teach fellows advanced surgical techniques in a low-risk, virtual environment. Virtual platforms are a viable, highly-rated option for surgical training in the setting of restricted in-person meetings and as a mechanism to increase access for fellows by reducing costs and travel requirements during unrestricted periods.


Subject(s)
COVID-19 , Otolaryngology , Child , Clinical Competence , Fellowships and Scholarships , Humans , Otolaryngology/education , Pandemics , Printing, Three-Dimensional
6.
20th International Conference on Artificial Intelligence in Medicine, AIME 2022 ; 13263 LNAI:189-199, 2022.
Article in English | Scopus | ID: covidwho-1971533

ABSTRACT

Epidemics of infectious diseases can pose a serious threat to public health and the global economy. Despite scientific advances, containment and mitigation of infectious diseases remain a challenging task. In this paper, we investigate the potential of reinforcement learning as a decision making tool for epidemic control by constructing a deep Reinforcement Learning simulator, called EpidRLearn, composed of a contact-based, age-structured extension of the SEIR compartmental model, referred to as C-SEIR. We evaluate EpidRLearn by comparing the learned policies to two deterministic policy baselines. We further assess our reward function by integrating an alternative reward into our deep RL model. The experimental evaluation indicates that deep reinforcement learning has the potential of learning useful policies under complex epidemiological models and large state spaces for the mitigation of infectious diseases, with a focus on COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

7.
23rd International Carpathian Control Conference, ICCC 2022 ; : 167-170, 2022.
Article in English | Scopus | ID: covidwho-1961392

ABSTRACT

Due to the COVID-19 pandemic the education has to be undertaken virtually on digital platforms in Hungary and many other countries. This presented new challenges to our department at the Budapest University of Technology and Economics. Our education and primary its laboratory part was very hardware focused. This paper introduces our solution for educating model based embedded system development and HIL (Hardware-In-the-Loop) testing in a remote or virtual laboratory environment. The laboratory uses a racing car simulator as a platform. Using the measurements data gathered from the racing car simulator the students can create their own control algorithms (like speed controller, or automated steering) and modify the behavior of the car. The laboratory can be configured to a virtual setup, where just simulations, and models are used, or it also can be configured to a remote setup, where real hardware-s is used through a VNC interface based virtual desktop access. © 2022 IEEE.

8.
21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 ; 1:1-8, 2022.
Article in English | Scopus | ID: covidwho-1958213

ABSTRACT

During the COVID-19 pandemic, governments have struggled to devise strategies to slow down the spread of the virus. This struggle happens because pandemics are complex scenarios with many unknown variables. In this context, simulated models are used to evaluate strategies for mitigating this and future pandemics. This paper proposes a simulator that analyses small communities by using real geographical data to model the road interactions and the agent's behaviors. Our simulator consists of three different modules: Environment, Mobility, and Infection module. The environment module recreates an area based on map data, including houses, restaurants, and roads. The mobility module determines the agents' movement in the map based on their work schedule and needs, such as eating at restaurants, doing groceries, and going to work. The infection module simulates four cases of infection: on the road, at home, at a building, and off the map. We simulate the surrounding areas of the University of Tsukuba and design three intervention strategies, comparing them to a scenario without any intervention. The interventions are: 1) PCR testing and self-isolation if positive;2) applying lockdown measures to restaurants and barbershops 3) closing grocery stores and restaurants and providing delivery instead. For all scenarios, we observe two areas where most infection happens: hubs, where people from different occupations can meet (e.g., restaurants), and non-hubs, where people with the same occupation meet (e.g., offices). The simulations show that most interventions reduce the total number of infected agents by a large margin. We observed that interventions targeting hubs (2-4) did not impact the infection at non-hubs. In addition, the intervention targeting people's behavior (1) ended up creating a cluster at the testing center. © 2022 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved

9.
45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 ; : 83-88, 2022.
Article in English | Scopus | ID: covidwho-1955356

ABSTRACT

Shifting the paradigm to decarbonized, distributed renewable future implies changes to conventional principles of power systems operation and requires the implementation of smart grid concepts. Microgrids have been widely recognized as a decentralized approach to successfully integrating renewable energy sources and end consumer empowerment. However, their implementation requires significant improvements and transformation of the distribution system in terms of increased observability and controllability, especially in the context of (near) real-time operation. Supervisory, Control, and Data Acquisition Systems (SCADA) enable system and infrastructure automated monitoring and control and serve as a foundation for advanced management and application of optimization-driven operation. Moreover, the development and testing of the functions mentioned above is a complex task, and today there is still a lack of holistic simulation tools, even though well-established power system simulators exist. The main objective of this paper is to introduce a novel simulation tool developed to simulate the SCADA system used in the Smart Grid Laboratory of the Faculty of Electrical Engineering and Computing for control, integration, and interactions between a microgrid's components. This paper includes simulator system architecture design, implemented functionalities, and future directions. Simulator testing shows successful communication, measurement generation, and meaningful response to commands and reference signals, proving correct functionality. Besides significant value in testing SCADA functionality, designing such a simulator has been of great benefit during restricted access to real-world devices in the Smart Grid Laboratory during the COVID-19 pandemic lockdown. © 2022 Croatian Society MIPRO.

10.
6th International Conference on Transportation Information and Safety, ICTIS 2021 ; : 1176-1182, 2021.
Article in English | Scopus | ID: covidwho-1948783

ABSTRACT

Fatigue leads to the decrease of the flight crew's alertness, which will seriously affect the flight safety. In order to avoid the risk of infection caused by the overnight stay abroad of the air crew during the Covid-19 epidemic, CAAC proposed an exemption method to release the flight time restriction of regulation by increasing the number of flight crew and setting up an independent rest area on international flights. Based on the alertness energy theory, this paper simulates the crew alertness of three international scheduled flights of China Southern Airlines, including Guangzhou - Amsterdam, Guangzhou - Los Angeles, and Guangzhou - Sydney, to compare the difference of crew alertness between '3 sets of flight crew, without overnight rest' in accordance with exemption condition, and '2 sets of flight crew, with overnight rest' in accordance with regulation condition. The simulation results show that for the Guangzhou - Amsterdam and Guangzhou - Los Angeles flights, the cockpit alertness under the exemption condition is similar to that under the regulation condition, and the fatigue risk is acceptable;for the 'Guangzhou-Sydney' flight, because the return flight under the exemption condition is always in the negative range of human rhythm, the alertness is lower than that under the regulation condition. © 2021 IEEE.

11.
27th International Conference on Parallel and Distributed Computing, Euro-Par 2021 ; 13098 LNCS:267-278, 2022.
Article in English | Scopus | ID: covidwho-1919679

ABSTRACT

The transmission of COVID-19 through a population depends on many factors which model, incorporate, and integrate many heterogeneous data sources. The work we describe in this paper focuses on the data management aspect of EpiGraph, a scalable agent-based virus-propagation simulator. We describe the data acquisition and pre-processing tasks that are necessary to map the data to the different models implemented in EpiGraph in a way that is efficient and comprehensible. We also report on post-processing, analysis, and visualization of the outputs, tasks that are fundamental to make the simulation results useful for the final users. Our simulator captures complex interactions between social processes, virus characteristics, travel patterns, climate, vaccination, and non-pharmaceutical interventions. We end by demonstrating the entire pipeline with one evaluation for Spain for the third COVID wave starting on December 27th of 2020. © 2022, Springer Nature Switzerland AG.

12.
Machine Learning-Driven Digital Technologies for Educational Innovation Workshop ; 2021.
Article in English | Web of Science | ID: covidwho-1895915

ABSTRACT

In 2020, the global educational models became fully modified, migrating to a remote modality due to the global COVID-19 pandemic. This presented a massive challenge for educational programs with high technical content. In specific areas such as industrial process automation, new teaching models were adapted to lead the student to efficient learning through automated system simulators in the industrial area. This project aimed to design and develop a redundant robotic system with 7 degrees of freedom and computational vision. We used computer simulators to improve students' learning experience in technical industrial-process-automation classes. To achieve the control and programming of the redundant robot, we used the CoppeliaSim robotic simulator (V-REP), which allows creating, composing, and simulating almost any type of robot with precise physical motors. This simulator facilitates coding robots with the Python programming language. The OpenCV library was also utilized to integrate a computer vision system into the simulator. An automated (simulated) object classification system was designed using a redundant seven-degrees-of-freedom (7DOF) robot and a computational vision system. The vision system was designed to identify and classify PCB electronic boards with a barcode. The simulator allowed users to learn Python to program the robot's movements to fulfill a specific task. Additionally, it allowed users to learn to develop computer programs incorporating computational vision to monitor industrial processes.

13.
Meditsinskiy Sovet ; 2022(4):35-40, 2022.
Article in Russian | Scopus | ID: covidwho-1893551

ABSTRACT

In recent decades, attention to lung diseases associated with bronchiectasis has increased significantly. Despite the availability of modern effective therapy methods, primarily inhalation therapy, the problems of improving mucociliary clearance, reducing hypersecretion in pathologically deformed bronchi do not lose relevance. In patients with bronchiectasis, cystic fibrosis, COPD with bronchiectasis, methods of kinesitherapy to improve lung drainage function come to the fore. One of modern effective methods of kinesitherapy is the use of simulators with positive expiratory pressure. This includes the PARI O-PEP and the PARI PEP S system. These simulators are effective and easy to use. The PARI PEP S system is attached to a nebulizer and the patient can perform basic mucolytic therapy with exhaled resistance, which is more effective in influencing lung drainage function. The use of expiratory simulators is even more effective if included in a pulmonary rehabilitation course, conducted in conjunction with the improvement of breathing pattern (breathing pattern) through the use of aspiratory simulators, with training of the upper and lower muscle groups that are affected by chronic infectious process. The use of hardware methods to improve lung drainage function, such as vibration and compression therapy, is important to manage exacerbations of bronchiectasis. Due to the pandemic of new coronavirus infection (COVID-19), it is necessary to prevent worsening of the course or exacerbation of lung diseases associated with bronchiectasis, so the daily use of physical training, aspiration training and expiratory exercise machines is essential. © 2022, Remedium Group Ltd. All rights reserved.

14.
International Journal of Advanced Computer Science and Applications ; 13(4):607-615, 2022.
Article in English | Scopus | ID: covidwho-1863383

ABSTRACT

Many universities worldwide were forced to physically close campuses due to lockdown and resumed the inperson classes compliant with a stringent set of standards of procedures (SOPs) as Covid cases drop. This has profoundly disrupted the hands-on lab face-to-face learning process that is harder to be moved online. Virtual simulation lab could be the answer and its use in many courses has been extensively studied. However, it is relatively little studied when it comes to land surveying courses. The purpose of the study is to explore the learning effectiveness of virtual surveying field lab for blended open distance learning (ODL) students at Wawasan Open University (WOU) in the time of Covid-19. This study used a mixed-method that combines qualitative and quantitative approaches to get a fuller picture and deeper meaning of learning behavior while using descriptive and inferential statistical methods in SPSS platform. Respondents were selected using the purposive sampling method. Survey questionnaires were designed and distributed to students before and after lab simulation class. Instructors were interviewed after the lab simulation class. Students' learning results for the surveying course were compared with the past-year examination results at pre-Covid-19 times before the virtual simulator was introduced. Both qualitative and quantitative data set were collected and analyzed. The findings revealed that the virtual simulator has enhanced students' learning interest and efficiency for surveying course in a ODL setting. Both students and instructors have responded positively towards the virtual simulator learning experiences. Students' achievement in the final examination amid Covid-19 was better than pre-Covid-19 performance. It is recommended that the virtual simulator shouldn't be a replacement to physical instrument but as a complement. © 2022. All Rights Reserved.

15.
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022 ; : 121-125, 2022.
Article in English | Scopus | ID: covidwho-1846138

ABSTRACT

Providing care to seniors and adults with Developmental Disabilities (DD) has seen increased use and development of assistive technologies including service robots. Such robots ease the challenges associated with care, companionship, medication intake, and fall prevention, among others. Research and development in this field rely on in-person data collection to ensure proper robot navigation, interactions, and service. However, the current COVID-19 pandemic has caused the implementation of physical distancing and access restrictions to long-term care facilities, thus making data collection very difficult. This traditional method poses numerous challenges as videos may not be representative of the population in terms of how people move, interact with the environment, or fall. In this paper, we present the development of a VR simulator for robotics navigation and fall detection with digital twins as a solution to test the virtual robot without having access to the real physical location, or real people. The development process required the development of virtual sensors that are able to create LIDAR data for the virtual robot to navigate and detect obstacles. Preliminary testing has allowed us to obtain promising results for the virtual simulator to train a service robot to navigate and detect falls. Our results include virtual maps, robot navigation, and fall detection. © 2022 IEEE.

16.
Teoriya i Praktika Fizicheskoy Kultury ; 2022(4):79-81, 2022.
Article in Russian | Scopus | ID: covidwho-1824216

ABSTRACT

Objective of the study was to scientific substantiation of physical culture means for the prevention of the incidence of covid-19 in children and youth. Methods and structure of the study. The experiment involved children aged six to ten who attended elementary school and kindergarten No. 1604. Pedagogical impact was aimed at identifying the results of classes with wave simulators. Indicators of pulse, arterial pressure, physical development and physical fitness were deter-mined. Results and conclusions. As the study showed, physical activity with children aged 6-10 years using wave simulators has a positive effect on hemodynamics, which is expressed in a significant (p<0.05) decrease in heart rate and systolic pressure at rest, within the age norm;unreliable increase in indicators of physical development (p>0.05);a significant increase in the development of physical qualities (p<0.05). The results of the study testify to the health-improving effect of training with wave simulators, the economization of the indicators of the cardiovascular sys-tem, as well as the development of the basic physical qualities of children from 6 to 10 years old. © 2022, Teoriya i praktika fizicheskoy kul'tury i sporta. All rights reserved.

17.
Indian J Ophthalmol ; 70(2): 709, 2022 02.
Article in English | MEDLINE | ID: covidwho-1810680

ABSTRACT

Background: Vitreoretinal training has been badly affected during the COVID-19 times. Due to lockdown, the number of patients reaching the hospital has dwindled. Hence we propose two simple cost-effective ways to improve resident training. Purpose: To highlight two simple eye models RETILAPP and RETISURGE, and their use in resident training. This video also highlights how to make and customise laser and surgery eye models and its advantages . Synopsis: : By using 3D printing, two simple, economical and reusable eye models have been proposed to improve resident training especially during COVID-19 times. Highlights: Use of simple easily available materials and 3D printing to make sustainable eye models for practise as against the simulator based learning. Video link: https://youtu.be/dJau9N-sHUE.


Subject(s)
COVID-19 , Communicable Disease Control , Humans , Models, Anatomic , Printing, Three-Dimensional , SARS-CoV-2
18.
2022 Systems of Signals Generating and Processing in the Field of on Board Communications, SOSG 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1806933

ABSTRACT

Information and communication technologies in the context of the Industrial Revolution 4.0 are used in all industries. In the context of COVID-19 pandemic and the shift to distance learning, computer hardware and software systems are an effective tool for the successful implementation of the training process in the universities. Virtual laboratories, simulators, test computer systems are the components of the virtual educational environment of the universities. Today these tools contain a specific multimedia element - a virtual robot assistant. Student's interaction with a virtual assistant should be comfortable and provide the successful educational process. The authors examined several aspects of effective student's interaction with the multimedia components of the interface of the computerized learning environment. The results of the conducted experiment can be used by developers of computer virtual laboratories, simulators, experimental research stands, test computer systems, a component of which is a virtual robot assistant, to optimize the processes of educational activities distance learning included. © 2022 IEEE.

19.
IAF Space Education and Outreach Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021 ; E1, 2021.
Article in English | Scopus | ID: covidwho-1787053

ABSTRACT

The global COVID-19 pandemic impacted student science-led initiatives globally, forcing them to either cancel, postpone, or re-imagine their efforts in order to serve and inspire students. One such initiative, Shad Canada, a month-long summer STEAM and Entrepreneurship program for Canadian high school youth, that challenges its participants to create novel solutions to grand global and human challenges. In typical years, participants congregate physically in campuses to work in teams to devise solutions to societal problems. In the era of COVID-19, Shad went virtual. The program devised a novel challenge for their 2020 cohort: to design a microgravity payload for suborbital flight that leverages space and microgravity in a meaningful and creative way with impacts for science, research and humanity - all while collaborating online. Shad partnered with Luna Design and Innovation to create Canada’s first fully remote commercial space flight competition, offering one winning team 3-minutes of microgravity to test their research aboard Blue Origin’s New Shepard reusable suborbital vehicle. Working with industry, academic partners, Canadian Space Agency engineers, and other mentors and experts, sixty-two teams of over 600 students took on the challenge, proving their ability to adapt, innovate, and come together under one common goal. A judging panel of Shad representatives and industry experts evaluated the final projects based on their impact, scientific merit, technical feasibility and project plan. Mous4Inc. was ultimately selected as the winner of the Shad 2020 Design Challenge, developing a project that investigates the formation and structure of polyurethane foam in microgravity. This diverse team of ten students from across the country continue to work with mentors to develop a spaceborne polyurethane foam, with potential terrestrial applications. In the end, having strong communication, teamwork, and a central goal of connecting their ideas and interests was able to help Mous4Inc. design this winning project. This presentation centers around the student team’s experience with virtual suborbital payload development, believed to be the first student-led virtually-developed suborbital payload in Canada. This work will highlight both the novel virtual distributed payload development and building process, the value of such virtual payload development programs for other secondary students, lessons learned, and Mous4Inc.’s next steps with respect to launch, post-flight testing, publication and outreach. Copyright © 2021 by the International Astronautical Federation (IAF). All rights reserved.

20.
IAF Human Spaceflight Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021 ; B3, 2021.
Article in English, Japanese | Scopus | ID: covidwho-1782287

ABSTRACT

When private space flight becomes possible, a variety of space businesses and services will emerge that are different from those of the past. The personnel and fields involved will diversify, requiring education and training tailored to various customer needs. However, there is no facility in the world that combines the functions of integrated space business development, space education and training, and one specializing in commercial space flight. Therefore, ASTRAX is planning to develop a center for space business development by the private sector and for education and training of personnel involved in these activities. In addition, it is necessary to virtually connect space-related training facilities around the world so that training can be conducted in conjunction with them. ASTRAX has also been aiming to build a physical facility, but due to the influence of COVID-19, we are considering to focus education and training virtually as much as possible. This paper introduces the overall concept and plan of the private space business development, education and training center planned by ASTRAX. Copyright © 2021 by ASTRAX, Inc. All rights reserved.

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